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This paper deals with types and actors of entrepreneurship in and around academia in Russia, as well as with institutional settings of the entrepreneurial activity of academic faculty.

This paper is based on a series of semi-structured interviews using the purposive snowball method (2022–2023). The respondents are either engaged in different kinds of entrepreneurship in and outside universities in Moscow and Nizhny Novgorod or experts in entrepreneurship in and around academia.

A double mixed embeddedness driven approach to the typology of diverse forms of entrepreneurship in and around academia are shown in the context of the temporality as well as of the micro-, meso- and macro-level institutions, such as the low demand in innovations in the economy; uncertainty of property rights; limited interest of university administration in academic entrepreneurs or its focus solely on students' entrepreneurship; and necessity entrepreneurship motives on the micro-level. The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The research limitations of the study are the small number of observations and the localisation of the panel in only one country.

The “Special Military Operation” and its consequences would hinder bottom-up academic entrepreneurship in the country, while pushing universities to launch R&D with the big industry, and forcing many faculties to non-academic entrepreneurship.

For the first time, the broad variety of entrepreneurial activities of academic staff including the specifics of non-classical forms of entrepreneurship in and around academia and their embeddedness into different contexts are discussed.

To the best of our knowledge, no study has examined credit cycle synchronizations in the context of emerging economies. Studying the credit cycles synchronization across BRICS (Brazil, Russia, India, China and South Africa) countries is crucial given the magnitude of trade and financial integration among member counties. The enormity of the trade and financial linkages among BRICS countries and growth spillovers from emerging economies to advanced and low-income countries provide the rationale and motivation to study the synchronization of credit cycles across BRICS.

The study investigates the credit cycles coherence across BRICS economies from 1996Q2 to 2020Q4. The synchronization analysis is done using the noval wavelet approach. The analysis examines not only the coherence but also the extent of credit cycle synchronization that varies across frequencies and over time among different pairs of nations.

The authors find heterogeneity in the credit cycles' synchronization among the member nations. China and India are very much in sync with the other BRICS countries. China's high-frequency credit cycle mostly leads the other countries' credit cycles before the global financial crisis and shows a mix of lead/lag relationships post-financial crisis. Interestingly, most of the time, India's low-frequency credit cycles lead the member countries' credit cycles, and Brazil's low frequency credit cycle lag behind the other BRICS countries' credit cycles, except for Russia. The results are crucial from the macroprudential policymaker's perspective.

The empirical design is applicable to a similar set of countries and may not directly fit each emerging economy.

The findings will help understand the marked deepening of trade, technology, investment and financial interdependence across the world. BRICS acronym requires no introduction, but such analysis may help understand the interaction at the monetary policy level.

This is the first study that highlights the need to understand the credit variable interactions for BRICS nations.

This study aims to examine the impact of the beginning of the Russia–Ukraine war and the Wagner Group’s attempted military coup against Putin’s regime on the European defense sector, consisting of weapons manufacturers.

The authors use the event study methodology to quantify the impact. That is, the authors assume that markets are efficient, and abnormal stock returns around the event dates capture the magnitudes of the impacts of the two events studied on European defense sector companies. The authors use the capital asset pricing model and two different multifactor models to estimate expected stock returns, which serve as the benchmark necessary to obtain abnormal returns.

The start of the war on February 24, 2022, when the Russian forces invaded Ukraine, was followed by high positive abnormal returns of up to 12% in the next few days. The results are particularly strong if multiple factors are used to control for the risk of the defense stocks. Conversely, the authors find a negative impact of the rebellion initiated by the mercenary Wagner Group’s chief, Yevgeny Prigozhin, on June 23, 2023, on the abnormal returns of defense industry stocks on the first trading day after the event.

To the best of the authors’ knowledge, this is the first study of the impact of the Russia–Ukraine war on the defense sector. Furthermore, this is the first study to measure the financial implications of the military coup initiated by the Wagner Group. The findings contribute to a rapidly growing literature on the financial implications of military conflicts around the world.

In this work, the authors analyze the dynamic interdependencies between military expenditures and the real economy for the period 1970–2018, and the authors' approach allows for the existence of dominant economies in the system.

In this study, the authors employ a Network General Equilibrium GVAR (global vector autoregressive) model.

By accounting for the interconnection among the top twelve military spenders, the authors' findings show that China acts as a leader in the global military scene based on the respective centrality measures. Meanwhile, statistically significant deviations from equilibrium are observed in most of the economies' military expenses, when subjected to an unanticipated unit shock of other countries. Nonetheless, in the medium run, the shocks tend to die out and economies converge to an equilibrium position.

With the authors' methodology the authors are able to capture not only the effect of nearness on a country's military spending, as the past literature has documented, but also a country's defense and economic dependencies with other countries and how a unit's military expenses could shape the spending of the rest. Using state-to-the-art quantitative and econometric techniques, the authors provide robust and comprehensive analysis.

This study unravels an attempt to investigate the dynamic connectedness of agri-commodity (wheat) of Russia with 10 financial markets of wheat importing counties during the Russia–Ukraine invasion.

This study took the daily prices of Wheat FOB Black Sea Index (Russia) along with stock indices of 10 major wheat-importing nations of Russia and Ukraine. The time frame for this study ranges from February 24, 2022 to July 31, 2022. This time frame was selected since it fully examines all of the effects of the crisis. The conditional correlations and volatility spillovers of these indices are predicted using the DCC-GARCH model, Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) models.

It is found that there is dynamic linkage of agri-commodity of with stock markets of Iraq, Pakistan and Tanzania in short run while stock markets of Egypt, Turkey, Bangladesh, Pakistan, Brazil and Iraq are spilled by agri-commodity in long run. In addition, it documents that there is large spillover in short run than medium and long run comparatively. This signifies that investors have more diversification opportunity in short run then long run contemplating to invest in these markets.

To the best of the authors’ understanding this is the first study to undertake the dynamic linkage of agri-commodity (wheat) of Russia with financial market of select importing counties during the Russia–Ukraine invasion.

This study examines the relationship between strategic entrepreneurial behaviors (SEBs) and the performance of small and medium-sized enterprises (SMEs) in an emerging market context. The authors expand upon prior work in this area by building and testing a model that assesses the moderating effect of CEOs’ narcissism and Machiavellianism on the relationship between SEBs and SME performance.

To test the authors’ theoretical model, the authors use the results of a larger data collection project in Russia to create a national random sample of 372 Russian SMEs that were approached between August and November 2019.

The authors found support for the positive relationship between SEBs and SME performance. Additionally, the authors found that CEO narcissism and Machiavellianism strengthen the relationship between SEBs and firm performance.

This study is an important step toward enriching the understanding of the role of CEO personality traits in shaping the efficiency of entrepreneurial behavior at the firm level. Extending previous research, the authors show that SEBs have a positive effect on firm performance in an emerging market context. Additionally, the authors contribute insight about how personality characteristics of CEOs, specifically narcissism and Machiavellianism, influence the relationship between entrepreneurial behavior and firm performance. Finally, the authors’ research contributes to the development of strategic leadership theory: the results offer insight to scholars regarding the potentially beneficial attributes of otherwise “dark” leaders.

This paper aims to investigate technological innovations within the crypto space that have engendered novel financial crime risks and their potential utilization amidst geopolitical conflicts.

The theoretical paper uses an analysis of recent geopolitical events, with a key focus on using cryptocurrencies to undertake illicit activities.

The study found that cryptocurrencies and the innovations made within the crypto domain are used for both legitimate and illicit purposes, including money laundering, terrorism financing and sanction evasion.

This research contributes to understanding the critical role cryptocurrencies play amidst geopolitical conflicts and emphasizes the need for regulatory considerations to prevent their misuse. To the best of the authors’ knowledge, this paper is the first scholarly contribution that considers the evolving mechanisms afforded by cryptocurrencies amidst geopolitical conflicts in undertaking illicit activities.